Megha Aggarwal

778 total citations
18 papers, 505 citations indexed

About

Megha Aggarwal is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Megha Aggarwal has authored 18 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 7 papers in Infectious Diseases and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Megha Aggarwal's work include Virology and Viral Diseases (7 papers), Respiratory viral infections research (5 papers) and Mosquito-borne diseases and control (5 papers). Megha Aggarwal is often cited by papers focused on Virology and Viral Diseases (7 papers), Respiratory viral infections research (5 papers) and Mosquito-borne diseases and control (5 papers). Megha Aggarwal collaborates with scholars based in United States, India and Taiwan. Megha Aggarwal's co-authors include Robert A. Lamb, Pravindra Kumar, Richard K. Plemper, Shailly Tomar, George P. Leser, Yuan He, Julien Sourimant, Takashi Okura, Amrita Amrita and Manmohan Parida and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Megha Aggarwal

18 papers receiving 499 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Megha Aggarwal United States 13 244 219 128 110 69 18 505
Jean Ndjomou United States 12 192 0.8× 241 1.1× 89 0.7× 201 1.8× 142 2.1× 22 667
Ona Barauskas United States 9 244 1.0× 183 0.8× 66 0.5× 142 1.3× 58 0.8× 15 513
Jaime Guillén Spain 15 207 0.8× 123 0.6× 90 0.7× 288 2.6× 45 0.7× 23 652
Qiu‐Yan Zhang China 13 276 1.1× 92 0.4× 239 1.9× 211 1.9× 39 0.6× 34 644
Luciana Jesus da Costa Brazil 17 326 1.3× 186 0.8× 134 1.0× 146 1.3× 241 3.5× 42 696
Rubén Soto-Acosta United States 8 290 1.2× 106 0.5× 326 2.5× 125 1.1× 37 0.5× 12 549
Shuiyun Lan United States 12 572 2.3× 264 1.2× 62 0.5× 206 1.9× 100 1.4× 24 934
Eric Stavale United States 12 397 1.6× 133 0.6× 367 2.9× 121 1.1× 82 1.2× 16 676
Javier P. Martínez Spain 14 184 0.8× 134 0.6× 117 0.9× 269 2.4× 187 2.7× 25 744
Lisa Evans DeWald United States 14 496 2.0× 220 1.0× 123 1.0× 176 1.6× 19 0.3× 18 760

Countries citing papers authored by Megha Aggarwal

Since Specialization
Citations

This map shows the geographic impact of Megha Aggarwal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Megha Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megha Aggarwal more than expected).

Fields of papers citing papers by Megha Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megha Aggarwal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Megha Aggarwal. The network helps show where Megha Aggarwal may publish in the future.

Co-authorship network of co-authors of Megha Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Megha Aggarwal. A scholar is included among the top collaborators of Megha Aggarwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Megha Aggarwal. Megha Aggarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Lieber, Carolin M., Megha Aggarwal, Nicole A. P. Lieberman, et al.. (2024). Influenza A virus resistance to 4’-fluorouridine coincides with viral attenuation in vitro and in vivo. PLoS Pathogens. 20(2). e1011993–e1011993. 4 indexed citations
2.
Lieber, Carolin M., Megha Aggarwal, Jeong-Joong Yoon, et al.. (2023). 4’-Fluorouridine mitigates lethal infection with pandemic human and highly pathogenic avian influenza viruses. PLoS Pathogens. 19(4). e1011342–e1011342. 20 indexed citations
3.
Sourimant, Julien, Carolin M. Lieber, Megha Aggarwal, et al.. (2022). 4'-Fluorouridine is an oral antiviral that blocks respiratory syncytial virus and SARS-CoV-2 replication.. PubMed. 375(6577). 161–167. 45 indexed citations
4.
Sourimant, Julien, Carolin M. Lieber, Megha Aggarwal, et al.. (2022). 4′-Fluorouridine is an oral antiviral that blocks respiratory syncytial virus and SARS-CoV-2 replication. Science. 375(6577). 161–167. 79 indexed citations
5.
Sourimant, Julien, Megha Aggarwal, & Richard K. Plemper. (2021). Progress and pitfalls of a year of drug repurposing screens against COVID-19. Current Opinion in Virology. 49. 183–193. 19 indexed citations
6.
Lehman, Caitlin W., et al.. (2021). Resveratrol Inhibits Venezuelan Equine Encephalitis Virus Infection by Interfering with the AKT/GSK Pathway. Plants. 10(2). 346–346. 7 indexed citations
8.
Aggarwal, Megha, et al.. (2020). Structure of a paramyxovirus polymerase complex reveals a unique methyltransferase-CTD conformation. Proceedings of the National Academy of Sciences. 117(9). 4931–4941. 79 indexed citations
9.
Aggarwal, Megha & Richard K. Plemper. (2020). Structural Insight into Paramyxovirus and Pneumovirus Entry Inhibition. Viruses. 12(3). 342–342. 14 indexed citations
10.
Aggarwal, Megha, George P. Leser, & Robert A. Lamb. (2020). Repurposing Papaverine as an Antiviral Agent against Influenza Viruses and Paramyxoviruses. Journal of Virology. 94(6). 26 indexed citations
11.
Aggarwal, Megha, Ramanjit Kaur, Amrita Saha, et al.. (2017). Evaluation of antiviral activity of piperazine against Chikungunya virus targeting hydrophobic pocket of alphavirus capsid protein. Antiviral Research. 146. 102–111. 51 indexed citations
12.
Aggarwal, Megha, George P. Leser, Christopher A. Kors, & Robert A. Lamb. (2017). Structure of the Paramyxovirus Parainfluenza Virus 5 Nucleoprotein in Complex with an Amino-Terminal Peptide of the Phosphoprotein. Journal of Virology. 92(5). 33 indexed citations
13.
Sharma, Rajesh, Vemika Chandra, Megha Aggarwal, et al.. (2015). In silico and proteomic analysis of protein methyltransferase CheR from Bacillus subtilis. International Journal of Biological Macromolecules. 77. 168–180. 4 indexed citations
14.
Aggarwal, Megha, Rajesh Sharma, Pravindra Kumar, Manmohan Parida, & Shailly Tomar. (2015). Kinetic characterization of trans-proteolytic activity of Chikungunya virus capsid protease and development of a FRET-based HTS assay. Scientific Reports. 5(1). 14753–14753. 41 indexed citations
15.
Aggarwal, Megha, et al.. (2014). trans -Protease Activity and Structural Insights into the Active Form of the Alphavirus Capsid Protease. Journal of Virology. 88(21). 12242–12253. 22 indexed citations
16.
Aggarwal, Megha & Amrita Amrita. (2013). Performance Analysis Of Different Feature Selection Methods In Intrusion Detection. International journal of scientific and technology research. 2(6). 225–231. 28 indexed citations
17.
Aggarwal, Megha, et al.. (2012). Crystal Structure of Aura Virus Capsid Protease and Its Complex with Dioxane: New Insights into Capsid-Glycoprotein Molecular Contacts. PLoS ONE. 7(12). e51288–e51288. 25 indexed citations
18.
Aggarwal, Megha, et al.. (2011). Crystallization, high-resolution data collection and preliminary crystallographic analysis of Aura virus capsid protease and its complex with dioxane. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 67(11). 1394–1398. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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